IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-748-9_55.html

Analyzing the Impact of AI on Automotive Industry from Financial and Non-financial Perspectives

In: Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)

Author

Listed:
  • Yi Zhu

    (Beijing Normal University - Hong Kong Baptist University United International College, Faculty of Business and Management)

Abstract

The automotive industry is a representative of heavy industry. Likewise, the automotive industry is part of the economic foundation of most countries, and the development of the automotive industry is a national and social necessity. Currently, AI is definitely one of the most popular technologies. AI has brought convenience and efficiency to people in several areas. Similarly, AI is applicable to the automotive industry. Over the past 50 years, there have been many types of applications of AI in the automotive industry. As a result, the application of automotive AI and automotive AI the impact of automotive AI in finance and non-finance is worth considering. This essay will discuss AI application and financial and non-financial influence on automotive industry. As the background of the expanding market for AI applications in the automotive industry needs to discuss non-financial influence and financial influence. This essay believes that this will help increase the understanding of scholars about the application of artificial intelligence in the automotive industry and provide a basis for literature for future research.

Suggested Citation

  • Yi Zhu, 2025. "Analyzing the Impact of AI on Automotive Industry from Financial and Non-financial Perspectives," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin (ed.), Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025), pages 497-502, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-748-9_55
    DOI: 10.2991/978-94-6463-748-9_55
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-748-9_55. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.